Configure archive dataset card without a tabular viewer
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README.md
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license: mit
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tags:
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- video
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- robotics
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## Download and reproduce
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This repository is an archive and JSON/MP4 dataset, without a packaged Hugging Face `datasets.load_dataset` builder. Download it with `huggingface_hub`, then use DVIDIA Training's source intake. The following requires Python 3.12+ and system FFmpeg, including `ffprobe`.
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```sh
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python -m pip install huggingface_hub
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---
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license: mit
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viewer: false
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tags:
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- video
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- robotics
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## Download and reproduce
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This repository is an archive and JSON/MP4 dataset, without a packaged Hugging Face `datasets.load_dataset` builder. The tabular Dataset Viewer is disabled because the files include nested simulator records, provenance and training contracts; they are intended for DVIDIA's validated intake. Download it with `huggingface_hub`, then use DVIDIA Training's source intake. The following requires Python 3.12+ and system FFmpeg, including `ffprobe`.
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```sh
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python -m pip install huggingface_hub
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